Sharing and Presenting Your Work

When working with JupyterLab, you will almost certainly need to share and communicate the results of your work. JupyterLab supports some great tools and extensions that allow you to do this. In this chapter, we will learn about JupyterLab's menu options, which allow you to export files in a variety of different formats with nbconvert, while another program, nteract, supports the ability to publish notebooks as GitHub Gists in HTML format. If you need to present your work, the Reveal.js - IPython Slideshow Extension (RISE) allows you to turn your notebook files into interactive presentations. Finally, we will see how JupyterLab can be used with certain extensions to create interactive reports for specialized domains such as machine learning. 

In this chapter, we will explore the following topics:

  • Exporting content into different formats
  • Using nteract to share and publish notebooks
  • Turning notebooks into presentations 
  • Creating reports for machine learning
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